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Mid-level data science role in Bangalore with broad ML, GenAI, and AWS requirements drives high competition.
Core ML, Python, and AWS skills are broadly transferable despite preferred financial domain knowledge.
Explicit 2–6 years plus mandatory Python, SQL, and ML skills enforce moderate shortlist strictness.
Transform complex business problems into data science, machine learning, or AI solutions, developing models for forecasting, classification, and other use cases.
Build, deploy, and integrate AI-enabled solutions on cloud platforms such as AWS, including Generative AI and Large Language Model applications.
Manage end-to-end project delivery including data processing, model validation, and presenting insights to senior stakeholders.
2–6 years experience in Data Science, Machine Learning, AI, or related field.
Proficiency in Python and SQL for data analysis, modeling, and solution development.
Experience with machine learning/statistical modeling techniques and handling large, complex datasets.
Graduate or Post-graduate degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative discipline.
Experienced in applying advanced analytical and machine learning techniques to real-world business problems with full project ownership.
Familiar with cloud-based AI/ML deployments, preferably on AWS platforms and Generative AI technologies including Amazon Bedrock.
Skilled at collaborating across business and technical teams to translate business needs into scalable AI solutions, with strong communication to senior stakeholders.